Agent Based Models: Introduction
Ernesto Carrella
April 18, 2019
Agent Based Models
- Define
- Observe Emergent Patterns
Traffic Example - 2
When should we bother?
- Benefits:
- Knowledge is only available at individual level
- When aggregation is too hard to model mathematically
- When we want to test what would generate an aggregate pattern
- Cost:
Shelling model 1

Individual Level Policy - 1

Individual Level Policy - 2

Squaring with data
- Estimation problems
- Intractable likelihood
- Many parameters
- Techniques
- Approximate Bayesian Computation
- Indirect Inference
- Synthetic Likelihood
Squaring with data 2

Squaring with data 3

Microsimulation
- Gateway drug to ABM
- EUROMOD at Exeter
- Data focused:
- heterogeneity
- no interactions
Microsimulation - 1

Microsimulation - 2

Microsimulation - 3

Suggested Reading - 1

Suggested Reading - 2

Suggested Reading - 3
